Abstract

This project will create NHLBI COVID-19 common data elements and consensus outcomes to harmonize data practices across NHLBI and other COVID-19 studies. We will start with harmonizing data across two large NHLBI acute care clinical trial networks (PETAL, SIREN), and iterate, integrate, and promote these data harmonization standards with other COVID-19 research groups, including the international REMAP-CAP platform trial and other NIH institutes.

Public Health Relevance

This project will aid combining of data between COVID-19 studies, by establishing common standards on how to measure key data points (common data elements), and what to measure (consensus outcomes) in COVID-19 patients and studies. It is important to have common data standards to allow combining data from multiple studies. By combining data, scientists can provide the most rigorous answers to key questions about COVID-19, such as which treatments work best and the epidemiology of the disease.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01HL123020-07S1
Application #
10145147
Study Section
Special Emphasis Panel (ZHL1)
Program Officer
Reineck, Lora A
Project Start
2020-05-14
Project End
2021-04-30
Budget Start
2020-05-14
Budget End
2021-04-30
Support Year
7
Fiscal Year
2020
Total Cost
Indirect Cost

  Institution

Name
University of Pittsburgh
Department
Emergency Medicine
Type
Schools of Medicine
DUNS #
004514360
City
Pittsburgh
State
PA
Country
United States
Zip Code
15260

  Publications

Huang, David T; Angus, Derek C; Moss, Marc et al. (2017) Design and Rationale of the Reevaluation of Systemic Early Neuromuscular Blockade Trial for Acute Respiratory Distress Syndrome. Ann Am Thorac Soc 14:124-133
Sjoding, Michael W; Schoenfeld, David A; Brown, Samuel M et al. (2017) Power Calculations to Select Instruments for Clinical Trial Secondary Endpoints. A Case Study of Instrument Selection for Post-Traumatic Stress Symptoms in Subjects with Acute Respiratory Distress Syndrome. Ann Am Thorac Soc 14:110-117
Sjoding, Michael W; Brown, Samuel M; Moss, Marc et al. (2017) Reply: Validity of the Posttraumatic Stress Symptoms-14 Instrument in Acute Respiratory Failure Survivors. Ann Am Thorac Soc 14:1048-1049
Brown, Samuel M; Duggal, Abhijit; Hou, Peter C et al. (2017) Nonlinear Imputation of PaO2/FIO2 From SpO2/FIO2 Among Mechanically Ventilated Patients in the ICU: A Prospective, Observational Study. Crit Care Med 45:1317-1324
Brown, Samuel M; Grissom, Colin K; Moss, Marc et al. (2016) Nonlinear Imputation of Pao2/Fio2 From Spo2/Fio2 Among Patients With Acute Respiratory Distress Syndrome. Chest 150:307-13
Angus, Derek C; Seymour, Christopher W; Coopersmith, Craig M et al. (2016) A Framework for the Development and Interpretation of Different Sepsis Definitions and Clinical Criteria. Crit Care Med 44:e113-21
Benthin, Cody; Pannu, Sonal; Khan, Akram et al. (2016) The Nature and Variability of Automated Practice Alerts Derived from Electronic Health Records in a U.S. Nationwide Critical Care Research Network. Ann Am Thorac Soc 13:1784-1788
Seymour, Christopher W; Coopersmith, Craig M; Deutschman, Clifford S et al. (2016) Application of a Framework to Assess the Usefulness of Alternative Sepsis Criteria. Crit Care Med 44:e122-30